毫赫兹频段低噪声半导体泵浦驱动源设计与测试表征
Design and Characterization of Low-Noise Semiconductor Pump Driver in the mHz Frequency Band
高子超 1李番 1李健博 1王嘉伟 1马正磊 1李响 1尚鑫 1田龙 2尹王保 3王雅君 2郑耀辉2
作者信息
- 1. 山西大学光电研究所量子光学与光量子器件国家重点实验室,山西 太原 030006
- 2. 山西大学光电研究所量子光学与光量子器件国家重点实验室,山西 太原 030006;山西大学极端光学协同创新中心,山西 太原 030006
- 3. 山西大学激光光谱研究所量子光学与光量子器件国家重点实验室,山西 太原 030006;山西大学极端光学协同创新中心,山西 太原 030006
- 折叠
摘要
针对空间引力波探测中抑制毫赫兹频段激光强度噪声的需求,基于低噪声芯片,结合高稳定性电压基准源,设计相关外围电路,进行星载激光放大器中半导体激光泵浦驱动源的整体设计与研发,从时域及频域两方面对泵浦驱动源的工作性能进行评估.实验结果表明:自研泵浦驱动源输出电流3.5 A时,在4 h内的电流时域抖动≤180 μA;在频域方面,通过取样电阻将电流信号转化为电压信号,得到电压噪声谱密度低于1×10-4 V/Hz1/2@0.1 mHz和1×10-5 V/Hz1/2@1 mHz.所研发的泵浦源输出激光强度噪声在毫赫兹频段的相对电压噪声谱密度小于1×10-3 Hz-1/2@(0.1 mHz～1 Hz),为空间引力波探测中激光强度噪声抑制等方面提供关键器件及实验基础.
Abstract
In response to the demand for suppressing laser intensity noise in the millihertz frequency band in space gravitational wave detection,based on a low-noise chip and combined with a high stability voltage reference source,this paper designs relevant peripheral circuits to carry out the overall design and development of a semiconductor laser pump driver in a spaceborne laser amplifier.The performance of the pump driver is evaluated from both the time and frequency domains.Experimental results show that when the self-developed pump driver outputs 3.5 A,the current time-domain jitter is≤180 μA within 4 h.In the frequency domain,by converting the current signal into a voltage signal through a sampling resistor,the voltage noise spectral density is less than 1×10-4 V/Hz1/2 at 0.1 mHz and 1×10-5 V/Hz1/2 at 1 mHz.The developed pump driver outputs laser intensity noise with a relative voltage noise spectral density below 1×10-3 Hz-1/2 at(0.1 mHz‒1 Hz)in the frequency range of space gravitational wave detection.This study provides key components and experimental basis for laser intensity noise suppression in space gravitational wave detection.
关键词
半导体泵浦驱动源/毫赫兹频段噪声评估/激光噪声抑制/光电反馈控制Key words
laser diode driver/millihertz frequency band noise evaluation/laser noise suppression/optoelectronic feedback control引用本文复制引用
出版年
2024
NETL
NSTL
万方数据